AI Dashboards

Custom AI dashboards built on your stack.

Pull data from your CRM, POS, sales tools and ad platforms into one view. Weekly insights and recommendations the team can act on.

End-to-end data Sales · CRM · Ads · POS From S$6,000
Who this is for

Built for SMEs whose data lives in too many places to act on.

Your data is already flowing somewhere. We pull it into one place where the team can use it.

Before and after: a founder drowning in spreadsheets, then the same founder calmly reviewing one unified AI dashboard

SMEs running ads at scale

You spend on Meta, Google or TikTok every month and still cannot answer which channel actually drives booked revenue.

Multi-outlet retail and F&B

POS, CRM and bookings sit in three different systems. Daily-store performance is a WhatsApp screenshot, not a number.

Service businesses with CRM + POS split

Clinics, salons, fitness, education. Bookings live in one tool, payments in another, marketing in a third. Joining them is a manual job nobody owns.

Teams drowning in spreadsheets

A 12-tab Google Sheet that one person updates on Friday afternoons. Half the team does not open it. Decisions get made on vibes.

Data sources we connect

The tools we connect.

The platforms we plug in most often. Anything else with an API or CSV export, we'll plug in too.

CRMs & conversation
Where your customers live
  • respond.io
  • GoHighLevel
  • HubSpot
  • Salesforce
  • Pipedrive
  • Zoho CRM
Commerce & POS
Where money moves
  • Shopify
  • Stripe
  • Square
  • Lightspeed
  • WooCommerce
  • Mindbody, Booksy, Calendly
Ads & analytics
Where demand starts
  • Meta Ads (Facebook, Instagram)
  • Google Ads & Search Console
  • TikTok Ads
  • GA4
  • Server-side CAPI events
  • Klaviyo, Mailchimp

Anything with an API or a clean CSV export, we will plug in. Custom integrations are quoted in scoping.

What the dashboards actually tell you

What the dashboards tell you.

Real questions the dashboards answer. Six common starting points below.

Close-up of an AI Dashboards end-to-end attribution funnel from ad click to paid revenue, with cohort heatmap and AI flag panel
End-to-end attribution
Which ads actually drive booked revenue.

Trace every dollar from ad click through WhatsApp conversation, booking, and final payment. Stop optimising for clicks. Start optimising for cash.

Cohort retention
Which acquisition source produces customers who actually come back.

Group customers by the channel that brought them in. See month-over-month repeat rate. Reallocate spend toward sources that produce loyal customers, not just first orders.

Ad ROAS
ROAS by creative, audience and placement, weekly.

Cuts the ad-platform reporting noise. Surfaces only the segments that beat your blended ROAS target. The AI flags creatives that just dropped below threshold so you can swap before the week ends.

CAC payback
How long it takes a new customer to pay back their acquisition cost.

Segment by tier, by service line, by outlet. Know when you can safely scale spend and when you are paying to acquire customers who will never return for a second visit.

Dormant-customer risk
Who is about to churn, before they do.

The AI scores every customer weekly on churn risk using your real behavioural patterns, not a generic model. Triggers a re-engagement broadcast to the highest-risk segment automatically.

Team KPIs
Response time, conversion rate, no-show rate per team member.

Not for surveillance. For coaching. Surface where the funnel is leaking by person, by outlet, by shift. Tied directly to inbound enquiry volume so context is preserved.

These are starting points. Final dashboard scope is set in your scoping interview based on what decisions your team actually makes weekly.

How we build it

How we build it.

4 to 8 weeks from kickoff to live, depending on data sources and the state of your current schemas. Fixed scope, fixed quote.

1

Scoping interview + data audit

One week. We map every data source you currently use, identify what is clean and what is broken, and lock the list of insights worth building. Output: a written scope and a fixed implementation quote.

2

Schema + pipeline design

Two weeks. We design the warehouse schema, build the connectors, normalise the data, and stand up the ingestion pipeline. Includes error handling, retry logic, and source-of-truth resolution where systems disagree.

3

Insight layer + AI recommendations

Three to four weeks. The dashboards themselves, plus the AI layer that reads the data weekly and writes recommendations in plain English. Every recommendation links back to the underlying numbers so your team can verify before acting.

4

Team review cadence + monthly tune

Ongoing. Weekly digest to the team. Monthly review with us to refine what is working, add new insights, fix what broke, and keep the recommendations sharp as your business changes.

Pricing

S$6,000 setup. Plus a custom monthly retainer.

AI Dashboards engagement
From S$6,000 setup

Then a custom monthly retainer, scoped to your data volume and review cadence. Quoted in the scoping interview, not before. No lock-in. 30 days notice to pause.

Why the retainer matters. Data sources break. Meta and Google ship breaking API changes every few months. Your CRM gets renamed fields. New tools join your stack. The retainer covers the data plumbing upkeep, new insights as your business evolves, and the monthly model tuning that keeps recommendations sharp. Without it, the dashboard quietly goes stale in month three.
Compliance & data residency

Compliance and data residency.

PDPA-aware standard build. Private deployment for regulated industries.

Standard cloud build covers most SMEs: data flows into a managed warehouse (BigQuery, Supabase, Postgres, or your existing stack), role-based access, signed DPAs with sub-processors, full audit logs. Suitable for retail, F&B, e-commerce, fitness, beauty, education, professional services.

For regulated work (legal, financial advisory, insurance, healthcare, accountancy, IP-heavy SMEs): the dashboards layer deploys through our Private AI patterns instead. On-premise, private cloud, or hybrid redaction. Same insight quality, with the data never leaving infrastructure you control. See Private AI for the spectrum.

FAQ

FAQ

Typical first dashboards go live in 4 to 8 weeks from kickoff, depending on the number of data sources and the state of your current schemas.

Week 1: scoping interview and data audit. Weeks 2 to 3: pipeline design. Weeks 3 to 6: insight layer and AI recommendations build. Weeks 6 to 8: soft launch with your team and tuning.

If your stack is unusually clean or unusually messy, scoping is the moment to find out.

Not necessarily. If you already have a BI tool that the team uses, we can build on top of it.

Most clients come to us either with nothing in place, or with a half-built Metabase or Looker setup that nobody trusts because the data is wrong or the dashboards have not been touched in a year. We will tell you in scoping whether to extend or replace.

Yes. We work with BigQuery, Snowflake, Redshift, Supabase, Postgres, and the "just dump CSVs in a Google Drive folder" setup that a lot of SMEs actually run on.

We will recommend the right architecture for your scale, not the most expensive one. Premature data-warehouse spend is a tax we have watched too many SMEs pay.

Yes. Every recommendation links back to the underlying numbers and the date range it was computed over.

The team reviews recommendations weekly before they reach the dashboard. The model prompts are stored in version control.

It will. Meta, Google, Shopify, and most CRMs ship breaking changes every few months.

That is exactly what the monthly retainer is for. We monitor the integrations, update connectors when APIs shift, and patch downstream insights so your team never opens the dashboard and sees broken numbers.

You do. The code, the data pipelines, the warehouse, the dashboard configurations, and the access credentials are all in your name.

If you ever stop working with us, the system keeps running and your team can edit it. We document everything for handover. No hostages.

Yes. We expect to. Most growing SMEs have an internal data analyst, MSP, or fractional CTO who needs to be in the loop.

We bring the build and the AI insight craft. Your team owns the network, identity, and procurement. We can scope, deploy, document, and hand over, or stay engaged for ongoing tuning.

If your data is regulated under MAS, HSA, HIPAA, or strict legal-services confidentiality, the standard cloud-hosted build is not the right pattern.

We deploy those engagements through our Private AI offering instead, with on-prem or VPC-only deployments. The page is at Private AI and the scoping form there is NDA-first.

Scoping interview · NDA-first available

Tell us about your data stack.

Drop your details and a short note on what you already have running. The team will review, send back a written scope estimate, and book a 30-minute scoping call. NDA-first available on request.

No spam. The team replies within 2 working days using the phone or email you submitted.